scientificearthquakesseismologynatural-disastersUSGSgeoscienceglobal20242025

Significant Earthquakes Catalog M6.0+

2024–2025

Free

Open dataset

Sample structure: 96.5 / 100
10 download links issued
Seller: waseemahmad
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Category
Scientific
Records
74 rows
Format
CSV
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
Download links issued
10

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
Not documented — confirm reuse terms with the seller
Source / creator
Supplier-cited: USGS
Collection method
uploaded
Coverage / snapshot
2024–2025
Data last updated
Not documented
Update schedule
Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 96.5 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells46.5 / 50158 of 170 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30158 of 158 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
date0 / 10string0 / 10
magnitude0 / 10number0 / 10
magnitude_type0 / 10string0 / 10
location0 / 10string0 / 10
country0 / 10string0 / 10
region0 / 10string0 / 10
latitude0 / 10number0 / 10
longitude0 / 10number0 / 10
depth_km0 / 10number0 / 10
tsunami_warning0 / 10string0 / 10
alert_level0 / 10string0 / 10
felt_reports6 / 10number0 / 4
significance_score6 / 10number0 / 4
deaths0 / 10number0 / 10
injuries0 / 10number0 / 10
impact_summary0 / 10string0 / 10
primary_source0 / 10string0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Curated catalog of earthquakes magnitude 6.0 and above combining USGS seismic data with Wikipedia-sourced casualty and impact assessments. Records include magnitude, coordinates, depth, tsunami warnings, alert levels, felt reports, deaths, injuries, and impact summaries across 30+ countries.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py d0ad9bc2-d130-40f4-9420-7f41cbb953be --output dataset.bin
Full supplier documentation
Original supplier listing: Significant Earthquakes Catalog (M6.0+) — 2024/2025 Curated dataset of 74 significant earthquakes (magnitude 6.0+) from January 2024 through December 2025. Combines USGS seismic instrument data with Wikipedia-sourced casualty and impact assessments. Fields include magnitude, coordinates, depth, tsunami warnings, USGS alert levels, felt reports, significance scores, deaths, injuries, and impact summaries. Covers the M8.8 Kamchatka event (6th largest ever recorded), the M7.7 Myanmar earthquake (5,456 deaths), the M7.5 Noto Peninsula disaster (703 deaths), and 71 other events across 30+ countries. Multi-source, normalized, and cross-referenced.

Schema

NameTypeDescription
datestring
magnitudestring
magnitude_typestring
locationstring
countrystring
regionstring
latitudestring
longitudestring
depth_kmstring
tsunami_warningstring
alert_levelstring
felt_reportsstring
significance_scorestring
deathsstring
injuriesstring
impact_summarystring
primary_sourcestring

Sample Data

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Significant Earthquakes Catalo" })
// Found: d0ad9bc2-d130-40f4-9420-7f41cbb953be
get_download_url({ dataset_id: "d0ad9bc2-d130-40f4-9420-7f41cbb953be" })  // free — sign in with MCP OAuth first
Via REST API
# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/d0ad9bc2-d130-40f4-9420-7f41cbb953be/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"